The official implementation of DiffAbXL benchmarked in the paper "Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs", formerly titled "Benchmarking Generative Models for Antibody Design".
- Updated
Jun 11, 2025 - Python
The official implementation of DiffAbXL benchmarked in the paper "Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs", formerly titled "Benchmarking Generative Models for Antibody Design".
Boilerplate for multi-LLM agent applications using Langchain v3 with multi-model reasoning capabilities.
🦙 API to explore the complete collection of Ollama models
A Test-Bot made on Llama-2 LLM
This repository, Github-AI-models, is designed to test and utilize various AI models using GitHub tokens. It serves as a platform to experiment with and efficiently use AI models for diverse applications. Perfect for developers looking to integrate AI models into their workflows.
LLM fine Tuning Dashboard is built using Next.Js, Tailwind CSS and is Snowflake inspired design. It has just the front end components with hardcoded data and no backend integration yet.
LLM fine Tuning Dashboard is built using Next.Js, Tailwind CSS and is H2O.AI LLM studio inspired design. It has just the front end components with hardcoded data and no backend integration yet.
Code helper application built with Streamlit that combines a live code editor, terminal execution, and AI-powered assistance for multiple programming languages.
'VoyageVision' is a GenAI web application built using Next.js as main framework. It features a real-time chat application powered by LangChain framework and the Google Gemini open-source model for instant, transparent responses. Additionally, it includes a tour page that generates AI-based tour plans for cities and countries., contain ThemeToggle.
The AI-powered travel planner is an interactive chatbot built with Streamlit that simplifies trip planning by providing conversational AI and personalized itinerary recommendations, hotels and flight booking. It leverages LangChain and Hugging Face models for natural language processing. It visualizes the travel routes using Folium.
This AI medical chatbot uses Flask, LangChain, Hugging Face embeddings, and Pinecone to deliver accurate, context-aware answers from The Gale Encyclopedia of Medicine( Second Edition). It retrieves relevant medical content and responds using OpenAI’s GPT-4o-mini, making it ideal for educational and research purposes.
Python codes generation from latex expressions. Using synthetic dataset and CodeT5-base model.
HuggingFace Model Downloader (GUI)
🔥 Serve LLM Models in Production for Optimal Performance and Cost.
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